Product development as a competitive advantage

2003 ◽  
Vol 13 (2) ◽  
pp. 38-41
Author(s):  
N. Sheridan ◽  
K. Smith ◽  
P. Gustavson
Keyword(s):  
Product Development ◽  
Competitive Advantage

scholarly journals A multi-dimensional approach for managing open innovation in NPD

2017 ◽  
Vol 37 (10) ◽  
pp. 1366-1385 ◽  
Author(s):  
Hanna Bahemia ◽  
Brian Squire ◽  
Paul Cousins
Keyword(s):  
Product Development ◽  
Competitive Advantage ◽  
New Product Development ◽  
New Product ◽  
Three Dimensions ◽  
Longitudinal Impact ◽  
Product Innovativeness ◽  
Content Type ◽  
The Impact ◽  
Positive Effect

Purpose This paper explores openness within new product development (NPD) projects. The purpose of this paper is to examine the impact of breadth, depth and partner newness on product innovativeness and product competitive advantage. The authors also seek to examine the contingent effects of the appropriability regime. The authors make suggestions to academics and practitioners based on the findings. Design/methodology/approach The authors use a structured survey instrument producing an empirical analysis of 205 NPD projects in the manufacturing sector in the UK. The authors use an ordinary least squares regression model to test hypothesised relationships between openness (breadth, depth and partner newness), product innovativeness, product competitive advantage and the appropriability regime. Findings The authors find that each of the three dimensions of openness, depth, breadth and partner newness, have a significant but differing impact on product innovativeness. Specifically, the study indicates that breadth has a positive effect but only in the presence of a strong appropriability regime, partner newness has a direct positive effect, and depth a direct negative effect. The authors also find that product innovativeness has a positive impact on product competitive advantage. Research limitations/implications Further research should focus on replicating the findings in other countries, search for further moderating factors, such as the stage of the NPD process, and analyse the longitudinal impact of openness within NPD projects. Practical implications Organisations are encouraging managers to be more open in their approach to NPD. The authors’ findings suggest that managers need to think about the three dimensions of openness, breadth, depth and partner newness. Their engagement with each of these dimensions depends on the desired outcomes of the innovation project and the strength of patents. Originality/value The research extends the extant supplier involvement in new product development literature to examine the effect of up to 11 types of external actor in NPD projects. The authors test a new multi-dimensional measurement scale for the openness construct. The authors show that each dimension has a different relationship with product innovativeness.

scholarly journals Ramp-up Process Improvement Practices for Time-to-Market Reduction

2018 ◽  
Vol 26 (1) ◽  
pp. 19
Author(s):  
Krisztián Szabó
Keyword(s):  
Product Development ◽  
Competitive Advantage ◽  
Continuous Improvement ◽  
Process Improvement ◽  
New Products ◽  
Core Competency ◽  
Time To Market ◽  
Serial Production ◽  
Automotive Supplier ◽  
Significant Percentage

The importance of the “Ramp-up bridge” covering the gap between product development and serial production, as well as the speed at which this bridge can be crossed, has increased, providing companies with a significant competitive advantage.However, a significant percentage of project aiming to introduce new products do not achieve their goals. [(60 percent of the automotive supplier ramp-up projects fail on either the technical, or the economic side (Bischoff, 2007)].The author explores the possible reasons, then makes suggestions regarding the support of successful ramp-up projects, through practical examples taken from the industry. Through the continuous improvement of ramp-ups, a new core competency can be achieved, with a decrease in time-to-market. This core competency is difficult to duplicate, and can provide an additional competitive advantage for companies manufacturing products with high technical complexity.

scholarly journals Product Development for Competitive Advantage of Micro, Small, and Medium Enterprises of Ikat Woven Fabric in Kediri

2019 ◽  
Vol 10 (2) ◽  
pp. 75-86 ◽  
Author(s):  
Rita Ambarwati ◽  
Andre Saputro ◽  
Aditya Galih Fathurochman ◽  
As'ad Rizal
Keyword(s):  
Product Development ◽  
Competitive Advantage ◽  
Quality Function Deployment ◽  
Raw Materials ◽  
Small And Medium Enterprises ◽  
Woven Fabric ◽  
Quality Cost ◽  
The Third ◽  
Plastic Materials ◽  
Medium Enterprises

The research aimed to provide the solutions for the method of selecting product development strategies based on competitive advantage criteria including Quality, Cost, Delivery, Service, and Morale (QCDSM). The research was done in Micro, Small, and Medium Enterprises (MSMEs) of Ikat woven fabric in which the collecting data used questionnaires for the customers. The questionnaire was regarding the criteria for competitive advantage for MSMEs of Ikat woven fabric in Kediri. The analysis methods applied Importance-Performance Analysis (IPA) and Quality Function Deployment (QFD) based on the criteria of competitive advantage. The results show that the MSMEs of Ikat woven fabric should replace plastic materials into recyclable materials, ensure that raw materials do not contain dangerous and poisonous materials, choose coloring materials that do not contain dangerous and poisonous materials, choose the third parties to deliver products, weigh dye materials according to their composition and measurement, and utilize domestic raw materials.

Application of Statistical Analysis Tools and Concepts to Big Data and Predictive Analytics to New Product Development

2020 ◽  
Vol 3 (1) ◽  
pp. 17-35
Author(s):  
Brian J. Galli
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analysis ◽  
Product Development ◽  
Competitive Advantage ◽  
New Product Development ◽  
New Product ◽  
Big Data Analysis ◽  
Life Cycles ◽  
The Impact

In today's fiercely competitive environment, most companies face the pressure of shorter product life cycles. Therefore, if companies want to maintain a competitive advantage in the market, they need to keep innovating and developing new products. If not, then they will face difficulties in developing and expanding markets and may go out of business. New product development is the key content of enterprise research and development, and it is also one of the strategic cores for enterprise survival and development. The success of new product development plays a decisive role both in the development of the company and in maintaining a competitive advantage in the industry. Since the beginning of the 21st century, with the continuous innovation and development of Internet technology, the era of big data has arrived. In the era of big data, enterprises' decision-making for new product development no longer solely relies on the experience of decision-makers; it is based on the results of big data analysis for more accurate and effective decisions. In this thesis, the case analysis is mainly carried out with Company A as an example. Also, it mainly introduces the decision made by Company A in the actual operation of new product development, which is based on the results of big data analysis from decision-making to decision-making innovation. The choice of decision-making is described in detail. Through the introduction of the case, the impact of big data on the decision-making process for new product development was explored. In the era of big data, it provides a new theoretical approach to new product development decision-making.

Specialist knowledge identification, classification, and usage in company-specific new product development processes

2007 ◽  
Vol 221 (8) ◽  
pp. 1285-1298 ◽  
Author(s):  
M S Cross ◽  
S Sivaloganathan
Keyword(s):  
Product Development ◽  
Competitive Advantage ◽  
New Product Development ◽  
New Product ◽  
Development Project ◽  
Complex Process ◽  
Project Organizations ◽  
Development Processes ◽  
Specialist Knowledge ◽  
Knowledge Identification

New product development is a complex process that requires industry-specific knowledge to produce commercially viable solutions, and it is this specialist knowledge that enables organizations to develop competitive advantage in their marketplaces. This research, conducted over 3 years at a UK capital equipment manufacturer, investigated the role of specialist knowledge in the design and development of products. The study concluded that, although different knowledge components are required for different projects, it is possible to adopt a generic approach to specialist knowledge identification, classification, and usage in new product developments. The current paper presents five methods that were used to identify specialist knowledge from engineering projects. The knowledge was then classified into ten categories that describe the specialist knowledge types used during commercial design projects. A model is presented illustrating when each specialist knowledge category is required in a typical development project. Organizations can use this approach to capture and structure the specialist knowledge components for a given product type, thus making available the knowledge to the wider organization and improving the organization's competitive advantage. The study was conducted as part of a project ‘Developing company-specific design models’, described in an earlier work.

Knowledge Retention and Reuse: Using CAD Models as Carriers of Knowledge in Product Development

2010 ◽  
Author(s):  
Michael Lundin ◽  
Stefan Sandberg ◽  
Mats Na¨sstro¨m
Keyword(s):  
Information Retrieval ◽  
Product Development ◽  
Competitive Advantage ◽  
Holistic Approach ◽  
Knowledge Retention ◽  
Data Conversion ◽  
New Methods ◽  
Cad Models ◽  
And Performance

In order to ensure competitive advantage, manufacturers need to reduce the time and resources spent on development without affecting the quality and performance of the final product. Studies show that designers are likely to change both job and company several times during their career. The loss of experience and expertise implies that new methods for efficient knowledge retention and reuse need to be developed. Results presented in this paper include development and implementation of a previously proposed method suggesting the use of CAD models as carriers of knowledge. The method has been further developed and realised in a three-part demonstrator, each part addressing one aspect of a holistic approach to efficient knowledge retention and reuse. The approach presented here does not require the use of any additional applications during product development and it ensures that the designer has access to necessary information, where and when it is needed. This approach also results in less time spent on documentation, data conversion and information retrieval.

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